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Recall

recall
Read-onlyIdempotent

Retrieve a value previously saved via remember, or list all saved keys (omit the key argument). Use to look up context the agent stored earlier — the user's target ticker, an address, prior research notes — without re-deriving it from scratch. Scoped to your identifier (anonymous IP, BYO key hash, or account ID). Pair with remember to save, forget to delete.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNoMemory key to retrieve (omit to list all keys)

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, destructiveHint, and idempotentHint, so safety is covered. The description adds meaningful behavioral context: 'Scoped to your identifier (anonymous IP, BYO key hash, or account ID)' and explains listing behavior when key is omitted. This goes beyond annotations and clarifies privacy scoping, which is valuable for an agent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded. It starts with the primary action, then provides usage context, scoping, and tool pairing. Each sentence contributes distinct information with no filler or repetition of annotations.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with one optional parameter, no output schema, and safe annotations (readOnly, idempotent, non-destructive), the description covers the purpose, usage context, scoping, and relates to sibling tools. It is complete for an agent to invoke correctly without needing further clarification.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% (the key parameter is described as 'Memory key to retrieve (omit to list all keys)'). The description adds semantic context by giving examples of what keys represent (user's target ticker, address, prior research notes), helping the agent understand the nature of stored values. This enhances the schema's baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Retrieve a value previously saved via remember, or list all saved keys (omit the key argument).' It specifies the resource (memory keys) and distinguishes itself from sibling tools by explicitly mentioning remember and forget, making its role in the save/recall/delete trio unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear guidance on when to use the tool: 'Use to look up context the agent stored earlier' and gives concrete examples (target ticker, address, research notes). It also mentions pairing with remember and forget to save or delete, implying the appropriate alternatives. It does not explicitly state exclusions, but the context is strong.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A3.5/5.0
Disambiguation2/5

Many tools have overlapping or redundant purposes: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are nearly identical in routing, and several polymarket tools (polymarket_edges, polymarket_arbitrage, polymarket_fill_risk) all surface trading opportunities with similar outputs. The three ArcGIS tools are distinct but buried among dozens of unrelated data/meta tools, making selection confusing.

Naming Consistency3/5

All names use snake_case, which is consistent, but the verb/noun pattern is inconsistent. Some are verb_noun (query_layer, resolve_entity), some are noun phrases (entity_profile, polymarket_edges, recent_alerts), and some are bare verbs (recall, remember, forget, subscribe). The naming style is readable but not predictably patterned.

Tool Count1/5

34 tools is already high, but the severe issue is that only 3 of them (search_datasets, query_layer, layer_info) relate to the server's stated ArcGIS Delaware County purpose. The other 31 are Pipeworx data, memory, subscription, and prediction-market tools, which is a blatant scope mismatch. The tool count is not appropriate for the advertised server domain.

Completeness1/5

For an ArcGIS Delaware County GIS server, the surface is extremely thin: only search, query, and layer metadata exist. There are no tools for editing features, uploading data, managing layers, or exporting maps. Conversely, the Pipeworx tools form a broad but fragmented domain with many monitoring and meta-tools but no clear end-to-end workflow. The set is severely incomplete for its apparent dual purpose.